How Valid Are Social Vulnerability Models?

被引:160
|
作者
Rufat, Samuel [1 ,2 ]
Tate, Eric [3 ]
Emrich, Christopher T. [4 ]
Antolini, Federico [5 ]
机构
[1] Univ Cergy Pontoise, Inst Univ France, F-95011 Paris, France
[2] Univ Cergy Pontoise, Geog Dept, F-95011 Paris, France
[3] Univ Iowa, Geog & Sustainabil Sci Dept, Grad Studies, Iowa City, IA 52242 USA
[4] Univ Cent Florida, Coll Community Innovat & Educ, Sch Publ Adm & Sustainable Coastal Syst Cluster, Orlando, FL 32816 USA
[5] Univ Iowa, Geog & Sustainabil Sci Dept, Iowa City, IA 52242 USA
基金
美国国家科学基金会;
关键词
index; hazards; spatial regression; social vulnerability; validation; GIS-BASED APPROACH; NATURAL HAZARDS; INDEX; CONTEXT; COMMUNITIES; UNCERTAINTY; SENSITIVITY; DISASTERS; RECOVERY; KATRINA;
D O I
10.1080/24694452.2018.1535887
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Social vulnerability models are becoming increasingly important for hazard mitigation and recovery planning, but it remains unclear how well they explain disaster outcomes. Most studies using indicators and indexes employ them to either describe vulnerability patterns or compare newly devised measures to existing ones. The focus of this article is construct validation, in which we investigate the empirical validity of a range of models of social vulnerability using outcomes from Hurricane Sandy. Using spatial regression, relative measures of assistance applicants, affected renters, housing damage, and property loss were regressed on four social vulnerability models and their constituent pillars while controlling for flood exposure. The indexes best explained housing assistance applicants, whereas they poorly explained property loss. At the pillar level, themes related to access and functional needs, age, transportation, and housing were the most explanatory. Overall, social vulnerability models with weighted and profile configurations demonstrated higher construct validity than the prevailing social vulnerability indexes. The findings highlight the need to expand the number and breadth of empirical validation studies to better understand relationships among social vulnerability models and disaster outcomes.
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页码:1131 / 1153
页数:23
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